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of Mathematical Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx . To find out more about the People and Culture in the School of Mathematical Sciences please visit our
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features. Build and test pipelines for pose detection, object tracking, optical-flow analysis, and gaze–scene alignment, in collaboration with computer vision researchers. Analyze large multimodal datasets
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criteria Machine Learning Expertise: A robust foundation in probabilistic modeling, Bayesian inference, deep learning, and/or anomaly detection Modeling & Simulation Experience: Familiarity with Building
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should apply online at https://utah.peopleadmin.com/postings/204175 . Required materials: Letter of interest (cover letter) CV Research statement Teaching statement Exemplar publications that highlight